Transcript
time. Here's how the LionGuard MCP server makes that possible, using a SonicWall security analysis as an example. Today we're working inside Dunder Mifflin's environment. To assess their SonicWall devices, a technician would traditionally manually dig through configuration changes, firewall rules, interface settings, and licensing data, and then decide what's worth surfacing in a customer-facing report. As you can imagine, that process is slow, inconsistent, and really hard to scale. With the LionGuard MCP server, an AI agent can do that work for you. We've built the recipes. Think of them as structured prompts that tell the agent exactly how to analyze a specific system type. The SonicWall recipe pulls verified data directly from LionGuard, processes it through the agent, and outputs a complete assessment. MSPs can customize the recipe by adjusting sections, tone, reporting period, and target audience. The agent produces a full assessment with findings, critical issues, licensing status, network configuration, and recommended actions with prioritization. In this example, it flagged that SonicWall Inspector hadn't run in several days. This is a real risk that needs remediation before it becomes a client problem. That's the kind of insight that used to require manual review to find. Output formats include Markdown, Word, or PowerPoint. It's all the same findings, just formatted for the right audience. And this isn't just for SonicWall. We've built individual recipes for all 80 LionGuard Inspectors. Acronis, Active Directory, EDR, Backup, and more. They're also cross-system recipes that stitch multiple device types together into a single environment-wide assessment, rolled up into KPIs your team can act on. A consistent, client-ready security assessment, generated in minutes, grounded in verified LionGuard data. That's what the MCP server makes possible.
